IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.
ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(CrossRef DOI)
| IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: DESIGN & APPLICATIONS OF PROJECT-BASED LEARNING METHODOLOGIES FOR SMALL GROUPS WITHIN THE COMPUTER FUNDAMENTALS
Author Name(s): A V MURALI KRISHNA, V VENU AKHIL, V AVINASH, POOJA AGARWAL
Published Paper ID: - IJCRT2105314
Register Paper ID - 206913
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105314 and DOI :
Author Country : Indian Author, India, 500097 , Hyderabad, 500097 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105314 Published Paper PDF: download.php?file=IJCRT2105314 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105314.pdf
Title: DESIGN & APPLICATIONS OF PROJECT-BASED LEARNING METHODOLOGIES FOR SMALL GROUPS WITHIN THE COMPUTER FUNDAMENTALS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: c895-c898
Year: May 2021
Downloads: 1348
E-ISSN Number: 2320-2882
PROJECT-BASED LEARNING (PBL), is a new method of learning and implements practical learning and which ensures the users learn and access the materials with ease, project-based learning helps the students to connect to a practical environment, instead of Teacher-centered methodology, PBL creates a new and user-friendly environment to the student which helps in building his confidence as well as practical knowledge. PBL focuses on the importance of using a series of practical situations rooted in real professional contexts, PBL is helpful in real professional situations in the education levels. It is worth mentioning that technology and the future of learning methodology PBL methodology are very useful for small groups and organizations and plays a crucial role in learning fundamentals
Licence: creative commons attribution 4.0
Paper Title: Combining ability through Line × Tester analysis in Okra (Abelmoschus esculentus (L.) Moench)
Author Name(s): P. Sri Sai Chaitanya, Sadu Yashwanth, Mayur S. Dharvankar, G. Rajitha
Published Paper ID: - IJCRT2105313
Register Paper ID - 206433
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105313 and DOI :
Author Country : N, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105313 Published Paper PDF: download.php?file=IJCRT2105313 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105313.pdf
Title: COMBINING ABILITY THROUGH LINE × TESTER ANALYSIS IN OKRA (ABELMOSCHUS ESCULENTUS (L.) MOENCH)
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: N
Pubished in Volume: 9
Issue: 5
Pages: c887-c894
Year: May 2021
Downloads: 1402
E-ISSN Number: 2320-2882
Okra (Abelmoschus esculentus) also called as bhindi, ochro or ladies’ finger is a warm season vegetable crop. It is grown for its tender pods which are edible. The plants are cultivated in warm temperature, sub-tropical and tropical regions of the world. The realisable yield potential of okra is greater than what has been already achieved so far in the world. Improvement of high yielding varieties is mainly dependent on the genetic diversity of the crop. The investigation on combining ability and heterosis breeding methods are highly potential ways for achieving greater production and productivity. The combining ability effects for both general and specific combining abilities are estimated for various characters of okra using line × tester analysis mating design proposed by kempthrone which comprises of various lines, testers and their F1 hybrids. Here the parents and their hybrid crosses differ for specific combining ability effects and general combining ability effects and the best general combiners and specific combiners are evaluated for various traits like height of the plant, number of branches per plant, number of seeds per pod, internodal length, etc. the plants showing good combining abilities are used to accumulate the additive genes which are used for improvement of new varieties and hybrids with high fruit yield and yield components.
Licence: creative commons attribution 4.0
okra, line × tester, general combining ability, specific combining ability, combiners.
Paper Title: BLOCK CHAIN SECURED VOTING SYSTEM USING QR GENERATION
Author Name(s): R.KIRUTHIKA, VIJAY.A, VAIRAMUTHU.P, VIGNESH.A
Published Paper ID: - IJCRT2105312
Register Paper ID - 206979
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105312 and DOI :
Author Country : Indian Author, India, 637503 , namakkal, 637503 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105312 Published Paper PDF: download.php?file=IJCRT2105312 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105312.pdf
Title: BLOCK CHAIN SECURED VOTING SYSTEM USING QR GENERATION
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: c878-c886
Year: May 2021
Downloads: 1498
E-ISSN Number: 2320-2882
Digital voting has been around for several years now, but it is still slowly being adopted by election bodies around the world. In spite of technology that protects the confidentiality, integrity, and privacy of our data, digital voting systems still raise concerns of election fraud or data leaks. Block chain, the distributed database technology behind Bitcoin, seems like a good fit for digital voting systems, providing a way to keep transactions private, and mechanisms to prevent data alteration. But block chain alone is not enough to address other concerns that come up during elections: how to make sure that the person voting has the right to do so while keeping her identity disconnected from her vote. The user can safely vote from the three level of authentication system OTP, QR code share and Block chain. Here the system contains a secured timestamp and the hash code which is used to identify the fraudulent attacks on the distributed server. We cover these concerns in the following pages, presenting what we believe are suitable solutions for each one. Additionally, it is our opinion that using the methods suggested can work with or without block chain as the storage method. A safe and secured voting is employed using these secured services. The legal and the technology limitations are also analyzed in the block chain distributed ledger.
Licence: creative commons attribution 4.0
Block chain, Bitcoin, QR code share and Block chain, authentication system OTP.
Paper Title: Solute Transport Modelling using SUTRA and Physio-Chemical Analysis in Ghogha taluka, Bhavnagar District
Author Name(s): JADAV AKASH KAMLESHBHAI, Prof. N. P. Soni
Published Paper ID: - IJCRT2105311
Register Paper ID - 206467
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105311 and DOI : http://doi.one/10.1729/Journal.27010
Author Country : Indian Author, India, --- , Botad, --- , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105311 Published Paper PDF: download.php?file=IJCRT2105311 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105311.pdf
Title: SOLUTE TRANSPORT MODELLING USING SUTRA AND PHYSIO-CHEMICAL ANALYSIS IN GHOGHA TALUKA, BHAVNAGAR DISTRICT
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.27010
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: c870-c877
Year: May 2021
Downloads: 1407
E-ISSN Number: 2320-2882
Groundwater is water located under the ground surface in soil pore spaces and in the fractures of rock formations and ground water is the second largest fresh water available on earth and is the major contributor to fresh water resource. But in recent days, due to various reasons, lots of contaminants are being added to groundwater system in different part of the world. Groundwater contamination occurs when contaminants are discharged directly or indirectly into water bodies without adequate treatment to remove harmful compounds. Analysis Of Solute transport in ground-water systems involves a complex, multi-discipline study that require s intensive and costly investigation. In this study the physical mechanisms of solute transport, advection and dispersion, and explains how they relate to one another and the scale of study. In this To identify the worst area, which are highly suspected to ground water contamination and estimate the solute transport in Ghogha taluka of Bhavnagar district using SUTRA Model and propose.
Licence: creative commons attribution 4.0
SUTRA, Transport modelling
Paper Title: EFFICIENT RETRIEVAL OVER DOCUMENTS ENCRYPTED BY ATTRIBUTES IN CLOUD COMPUTING
Author Name(s): Dipak Ramdas Vare, Akshay Suresh Kapadi, Deepak Balu Ratnaparkhi, Vaibhav kale, Sunil S. khatal
Published Paper ID: - IJCRT2105310
Register Paper ID - 206971
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105310 and DOI :
Author Country : Indian Author, India, 412412 , pune, 412412 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105310 Published Paper PDF: download.php?file=IJCRT2105310 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105310.pdf
Title: EFFICIENT RETRIEVAL OVER DOCUMENTS ENCRYPTED BY ATTRIBUTES IN CLOUD COMPUTING
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: c856-c869
Year: May 2021
Downloads: 1600
E-ISSN Number: 2320-2882
secure data storage and retrieval is the best research directions in cloud. Though lots of searchable encryption scheme have been proposed some of them support efficient retrieval over the documents. Which are encrypted based on their attributes. In this paper a hierarchical attribute based encryption scheme is designed for a data collection. A set of documents is encrypted together if they share an integrated access structure. Compared with the CP policy attribute based encryption schemes, both the cipher text storage space and time costs of encryption and decryption are saved. Then, an index structure named attribute based retrieval features tree is constructed for the document collection based on the TF-IDF model and the documents attributes. A depth first search algorithm for the attribute based retrieval features tree is designed to better the search efficiency which can be further improved by parallel computing. Except for the documents collections in our scheme can be applied to other data sets by modifying the attribute based retrieval features tree slightly. A thorough analysis and series of experiments performed to illustrate the security and efficiency of the proposed scheme.
Licence: creative commons attribution 4.0
Cloud, Document retrieval, file hierarchy, attribute-based encryption.
Paper Title: TRACKER MEDICO: APPLICATION FOR SMALL HEALTH ISSUES
Author Name(s): Vishakha Tahasildar, Vaishnavi Sarpatil, Jaykrishna Nandagiri, Harshali Rambade
Published Paper ID: - IJCRT2105309
Register Paper ID - 206974
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105309 and DOI :
Author Country : Indian Author, India, 400708 , navi mumbai, 400708 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105309 Published Paper PDF: download.php?file=IJCRT2105309 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105309.pdf
Title: TRACKER MEDICO: APPLICATION FOR SMALL HEALTH ISSUES
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: c850-c855
Year: May 2021
Downloads: 1410
E-ISSN Number: 2320-2882
An automated healthcare visualization system is a project which aims at developing a health-oriented web-based application that proves useful for everybody equipped with an Android Device, IOS Device, or desktop. This project has included many features which are not available in usual health-centered applications like the facility of call The Visual Body Analyzer through which the user can find home remedies for trivial health issues in 3D image format. The Healthcare system has the facility of a BMI Calculator. Data Analytics being the new future, we have successfully implemented basic level Data Analysis where Blood group and Doctors. Overall this project of ours is being developed to help people maintain their health in a centralized manner.
Licence: creative commons attribution 4.0
Web Application, React Native, BMI calculator module, Find Doctor, Find Blood, 3D Body Visualize etc.
Paper Title: 3D MRI IMAGE SEGMENTATION FOR BRAIN TUMOR BOUNDARY DETECTION USING KAPUR ENTROPY MEASURE
Author Name(s): Deepika Joshi, Pooja Tamta
Published Paper ID: - IJCRT2105308
Register Paper ID - 206711
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105308 and DOI :
Author Country : Indian Author, India, 248197 , Dehradun, 248197 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105308 Published Paper PDF: download.php?file=IJCRT2105308 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105308.pdf
Title: 3D MRI IMAGE SEGMENTATION FOR BRAIN TUMOR BOUNDARY DETECTION USING KAPUR ENTROPY MEASURE
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: c845-c849
Year: May 2021
Downloads: 1367
E-ISSN Number: 2320-2882
Boundary detection of brain tumor from the MRI is a time consuming task. This is due to the diversity in shape, size and appearance of the tumors. Boundary detection in MR image with brain tumor is an important image processing technique applied in Radiology for 3D reconstruction. To segment the boundary of the brain tumor region, many segmentation techniques have been emerged in image processing like the region based segmentation, the boundary based segmentation. Moreover, even in some of the normal tissue region, edge created by this method has also been encompassed. In this paper, Kapur Entropy measure method is used for boundary detection of brain tumor segmentation and its earlier detection. In the proposed approach threshold selection is done on the basis of different Kapur entropy measure. Simulation results for different MRI Images are also presented and it is observed that in 3D MRI Images, Kapur entropy is able to detect the brain tumor at its earlier stage.
Licence: creative commons attribution 4.0
MRI , Segmentation,Radiology, Kapur Entropy
Paper Title: Self–Concept among Inter-Collegiate Cricket, Softball and Football Men Players
Author Name(s): Dr. Praveenkumar M K
Published Paper ID: - IJCRT2105307
Register Paper ID - 206960
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105307 and DOI :
Author Country : N, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105307 Published Paper PDF: download.php?file=IJCRT2105307 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105307.pdf
Title: SELF–CONCEPT AMONG INTER-COLLEGIATE CRICKET, SOFTBALL AND FOOTBALL MEN PLAYERS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: N
Pubished in Volume: 9
Issue: 5
Pages: c841-c844
Year: May 2021
Downloads: 1412
E-ISSN Number: 2320-2882
Sports is considered as a psycho-social activity. Along with physical, physiological and technical aspects sports has a psychological and social dimension. The most of the people share a common interest in sports competitions. But, the quality of sports participation of the athletes and sportsmen is determined by their psychological factors. In the field of exercise and science the role of sports psychology has been considered. Sports psychology as a branch of sports and exercise science focuses on the psychological aspects. Thus sports psychology incorporates the theoretical models and approaches of psychology.
Licence: creative commons attribution 4.0
Paper Title: USER PRIVACY PRESERVING WITH CRYPTOGRAPHY ON AD BLOCKING E-COMMERCE
Author Name(s): Mr.K.S.ARUN, VIGNESH M, THAMARAIKANNAN D, VINOTH P
Published Paper ID: - IJCRT2105306
Register Paper ID - 206945
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105306 and DOI :
Author Country : Indian Author, India, 637503 , namakkal, 637503 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105306 Published Paper PDF: download.php?file=IJCRT2105306 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105306.pdf
Title: USER PRIVACY PRESERVING WITH CRYPTOGRAPHY ON AD BLOCKING E-COMMERCE
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: c830-c840
Year: May 2021
Downloads: 1338
E-ISSN Number: 2320-2882
The growing number of mobile and IoT devices has nourished many intelligent applications. In order to produce high-quality machine learning models, they constantly access and collect rich personal data such as photos, browsing history and text messages. However, direct access to personal data has raised increasing public concerns about privacy risks and security breaches. To address these concerns, there are two emerging solutions to privacy-preserving machine learning, namely local differential privacy and federated machine learning. The former is a distributed data collection strategy where each client perturbs data locally before submitting to the server, whereas the latter is a distributed machine learning strategy to train models on mobile devices locally and merge their output (e.g., parameter updates of a model) through a control protocol. In this paper, we conduct a comparative study on the efficiency and privacy of both solutions.
Licence: creative commons attribution 4.0
Blocking E-commerce, Browsing history and Text messages
Paper Title: ARTHA- SASTRE LOKA-TANTRIKA-MULYANUSILANAM
Author Name(s): Mr. Bappa Datta
Published Paper ID: - IJCRT2105305
Register Paper ID - 206968
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105305 and DOI :
Author Country : N, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105305 Published Paper PDF: download.php?file=IJCRT2105305 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105305.pdf
Title: ARTHA- SASTRE LOKA-TANTRIKA-MULYANUSILANAM
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: N
Pubished in Volume: 9
Issue: 5
Pages: c819-c829
Year: May 2021
Downloads: 1443
E-ISSN Number: 2320-2882
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Licence: creative commons attribution 4.0
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